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Graph Databases: New Opportunities for Connected Data, 2nd Edition
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  • Title Graph Databases: New Opportunities for Connected Data, 2nd Edition
  • Author(s) Ian Robinson, Jim Webber, Emil Eifrem
  • Publisher: O'Reilly Media, 2nd edition (July 9, 2015); 1st edition (June 22, 2013)
  • Hardcover/Paperback: 238 pages
  • eBook: PDF (238 pages, 9.9 MB)
  • Language: English
  • ISBN-10: 1491930896 (2nd editon), 1449356265 (1st edition)
  • ISBN-13: 978-149193089 (2nd editon), 978-1449356262 (1st edition)
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Book Description

This book provides a practical foundation for those who want to apply Graph Database to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them. With an introduction to the graph database space in general, this book focuses on their practical application, using the Neo4j graph database with many data model, query, and code examples.

Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems.

This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book's data modeling, query, and code examples, you’ll quickly be able to implement your own solution.

  • Model data with the Cypher query language and property graph model
  • Learn best practices and common pitfalls when modeling with graphs
  • Plan and implement a graph database solution in test-driven fashion
  • Explore real-world examples to learn how and why organizations use a graph database
  • Understand common patterns and components of graph database architecture
  • Use analytical techniques and algorithms to mine graph database information
About the Authors
  • Ian Robinson is the co-author of REST in Practice (O'Reilly Media, 2010). Ian is an engineer at Neo Technology, working on a distributed version of the Neo4j database.
  • Dr. Jim Webber is Chief Scientist with Neo Technology where he researches novel graph databases and writes open source software.
  • Emil Eifrem is CEO of Neo Technology and co-founder of the Neo4j project.
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